Bayesian Meta-Analysis of diagnostic test data Bayesian meta-analysis of diagnostic test data based on a scale mixtures bivariate random-effects model. Summary statistics are based on pooled and predictive sensitivities and specificities. Model checking is used for diagnostic of random-effects' misfit and predictive data is used to assess models departures from observed data. Software Depends: R (>= 2.9.0), coda (>= 0.13), rjags (>= 2.2.0-4) Dr. Pablo Emilio Verde <pabloemilio.verde@uni-duesseldorf.de> Dr. Pablo Emilio Verde <pabloemilio.verde@uni-duesseldorf.de> & Arnold Sykosch <arnold.sykosch@uni-duesseldorf.de> GPL-3 2011-12-08 application/tgz http://CRAN.R-project.org/package=bamdit